Identification Of Cascade Control DC Motor System Using Neural Network

Julia, Abu Bakar (2009) Identification Of Cascade Control DC Motor System Using Neural Network. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The purpose of this project is to identification of cascade control system using neural network. Beyond this project, the main objective that going achieve are to identify the response of speed and current of DC motor using neural network. Block diagram of cascade control system consists of DC motor, DC-DC converter, current controller and speed controller. PI controller is use to carried out the current control, but further increase PI controller parameters, controlled process input can be unstable. It's quite difficult to tune the PI parameters by manual way. To overcome this problem, neural network is used to identify the system. The response from modeling and designing cascade control system will be display with matlab simulation. The reason of using matlab simulation is because it can simulate dynamical system and it is a powerful tool for modeling and controller design. The result from simulation must be obtaining a good transient response of the system. A good transient response include low overshoot, fast rise time and loss oscillation. The system also necessary make the system insensitive to disturbance.

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